Where was the UC07R number plate registered?

Vehicles with the UC07R prefix were first registered in the UK through official DVLA regional allocation tag UC.

What year was a UC07R registration plate released?

The UC07R series was issued during March 2007 to August 2007.

What is the MOT pass rate for UC07R vehicles?

Vehicles in the UC07R cohort demonstrate an average historical MOT pass rate of 90% based on 10 recorded DVSA inspections.

Batch Prefix Hub

UC07R Series Number Plates

UK vehicles during March 2007 to August 2007 with registration prefix UC07R.

Area Office: DVLA Region (UC)
Release Period: March 2007 to August 2007
Tracked in Batch: 2 vehicles
MOT Pass Rate: 90%

Popular Makes

CITROEN 50% (1)

MERCEDES-BENZ 50% (1)

90%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

White2 vehicles

Active Plates in UC07R Series(2 of 2 displayed)

Filter by 6th Letter:

UC07REY

MOT Valid

MERCEDES-BENZ CLA

1.3L · Petrol · White

First Used: Sep 2019
MOT Expiry: 12 Sep 2026
Tax Status: —
Color: White

Check History & Specs

UC07RJC

MOT Valid

CITROEN BERLINGO

1.6L · Diesel · White

First Used: Feb 2016
MOT Expiry: 20 Feb 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for UC07R Makes

Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:

CITROEN Common Problems MERCEDES-BENZ Common Problems

Frequently Asked Questions about UC07R Plates

Where was the UC07R number plate series registered?

Vehicles starting with UC07R were assigned to the DVLA regional office covering the UK. The first two letters (UC) identify the memory tag assigned by the DVLA.

What registration period is UC07R?

The UC07R age identifier corresponds to vehicles first registered between March 2007 to August 2007.

How can I check the MOT history of a UC07R vehicle?

Click any registration in the plate list above to view the complete DVSA inspection history, advisory alerts, mileage progression, road tax status, and our AI mechanical risk evaluation.